Instructions to use SU-FMI-AI/multiclinner-enigma-es-symptom-RigoBERTa-Clinical with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SU-FMI-AI/multiclinner-enigma-es-symptom-RigoBERTa-Clinical with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="SU-FMI-AI/multiclinner-enigma-es-symptom-RigoBERTa-Clinical")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("SU-FMI-AI/multiclinner-enigma-es-symptom-RigoBERTa-Clinical") model = AutoModelForTokenClassification.from_pretrained("SU-FMI-AI/multiclinner-enigma-es-symptom-RigoBERTa-Clinical", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
00d1bcf | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:551a9ca23e54d8e700574168c6d15b6767885f72adb26619380c0e82fdad83ec
size 5265
|